Design and application of a green computing cloud platform based on scalable orchestration

DOI

10.2991/978-94-6463-504-1_11How to use a DOI?

Keywords

component; Green computing; Elastic expansion and contraction; Resource perception; Improving Ant Colony Algorithm; Resource allocation; Energy efficiency management

Abstract

With the gradual development and popularization of cloud computing technology, cloud computing has become an important support for government and enterprise information construction. However, traditional cloud computing platforms have problems such as low resource utilization and poor energy efficiency management, and current energy efficiency research cannot guarantee the parallel application quality and efficiency. Therefore, this article proposes a green computing cloud platform model based on scalable orchestration, and studies the implementation of a polymorphic ant colony algorithm improved on consistency hashing algorithm, which improves the resource utilization of the cloud platform, reduces energy consumption, and realizes the green development of cloud data centers. On the one hand, based on the energy consumption analysis of cloud data centers, models for resource management, prediction, and elastic scaling have been proposed to achieve dynamic switch control of physical machines in cloud data centers, improving the effective resource utilization and energy efficiency management of cloud data centers; On the other hand, in response to the problem of poor performance caused by traditional data center load imbalance, a dynamic feedback mechanism is adopted to calculate the load rate of each node based on the physical machine CPU, memory and other information collected by cluster monitoring. Based on the resource scheduling strategy that integrates the consistent hash load balancing algorithm and the polymorphic ant colony scheduling algorithm, the balanced distribution of scalable scheduling tasks is achieved, improving the efficiency of resource balancing scheduling.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Manni Xiong
AU  - Chengming Wang
AU  - Hengjia Chang
AU  - Jiadong Song
PY  - 2024
DA  - 2024/08/31
TI  - Design and application of a green computing cloud platform based on scalable orchestration
BT  - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
PB  - Atlantis Press
SP  - 87
EP  - 100
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-504-1_11
DO  - 10.2991/978-94-6463-504-1_11
ID  - Xiong2024
ER  -